For character frame matching, all visual encoders outperform the random predictor and heuristics \(h_1\)  and \(h_2\) , while \(h_3\)  outperforms CLIP and R(2+1)D. The compound scaling methodology in EN7 [1]} tends to produce representations that capture additional object details, which may explain why it performs best for this task (see Supplementary REF  for a description of the nuanced criteria for this task).
